The data collection stages of the project were threatened by the COVID-19 pandemic, but assistance from Condor Ferries on the South Coast of England, Grant’s Distillery in Scotland, the Royal Mail in Sheffield and Toyota in Derby, allowed this important work to continue.
The data collection was completed both in real time and periodically, allowing the system to be assessed in different service conditions. These tests monitored assets that are typically found in the marine industries, such as pumps, fans, compressors and gearboxes.
This testing and data collection allowed the project partners to bridge the gap between condition monitoring systems and artificial intelligence to deliver prescriptive maintenance planning platform tools for machinery systems, using machinery reliability templates supported by local failure mode effects and criticality analysis data.
The project also saw the creation of a prototype platform, which underwent beta testing at various operational sites across the UK.